Bolster is a digital, creative and product agency specialising in music, events and entertainment. We’re incredibly passionate about our clients and, hopefully, they’re on your radar too. We’re talking teams like Splendour in the Grass, St. Jerome’s Laneway Festival, Falls Festival, Chugg Entertainment, Fairfax Events, Pinot Palooza and Future Classic, plus global lifestyle brands such as YouTube, JBL, Sapporo, Blundstone and Redbull Music.
We design and develop digital products for ourselves and our clients. Some notable mentions include Linktree, (an instagram tool with 3 million users) and two webby award nominated projects: Buzz and LNWY - an online music publication we built in collaboration with the Laneway Festival
Our fast growing team work from a beautiful, naturally lit warehouse in Collingwood surrounded by great food and bars. Perks include great hookups from the industries we work in, twice a week yoga, frequent team retreats and a dog friendly office.
We’re looking for a data engineer help lead a major change in the way the music industry works with data.
You’ll own the top to bottom data strategy and architecture for:
Bolster’s internal data systems including cross-client behavioural tracking
Analytics projects to help grow and improve the entertainment industry.
The analytics and data stack on Linktree to power both internal BI and decision making as well as analytics features for users. Linktree has gained massive popularity in the last year, with 3m users and gaining over 12000+ new signups a day. Some key users are Alicia Keys, Eminem, The Grammys, Starbucks, Crossfit, Jamie Oliver, VICE, Guardian, Perez Hilton, Fender + Expedia.
Our dream candidate will possess all of the following qualities :
Commercial data engineering experience, building data pipelines, design, big data warehouses and shipping features
Ability to lead your own department while working well with dependent teams
An interest in music, entertainment, culture and lifestyle industries
Personable, clear and constructive communication skills.
Technical Must Haves :
Experience with Redshift and one of: Presto/Athena, Hive, Hadoop, Google BigQuery and using them for best practice data architecture
Comfortable working with event stream data from an analytics platform like Snowplow, Adobe Analytics or GA360
Experience with ETL scheduling technologies with dependency checking, such as Airflow, Fivetran, Xplenty, as well as schema design and dimensional data modelling
Python and relevant libraries (e.g. Pandas and NumPy)
Advanced SQL in an analytics environment
Bonus Points :
Knowledge of NoSQL, particularly ElasticSearch highly desired
Experience with BI tools like Metabase, Looker, Tableau etc
Extensive knowledge of the big data tooling landscape, BI tools and best practices